基于大数据的水环境风险业务化评估与预警研究  

Research of Water Environment Risk Assessment and Early Warning Based on Big Data

作　　者：王永桂[1] 夏晶晶[1] 张万顺[1] 张潇[1] 

机构地区：[1]武汉大学资源与环境科学学院,武汉430079

出　　处：《中国环境管理》2017年第2期43-50,共8页Chinese Journal of Environmental Management

基　　金：国家水体污染控制与治理科技重大专项--三峡库区及上游流域水环境风险评估与预警技术研究与示范课题(2013ZX07503-001);中国博士后科学基金(2016M602364)

摘　　要：随着生态环境大数据的不断建设,国家级、流域级和行政区级别的大数据中心相继产生。快速、高效地分析和利用实时产生、类型多样的环境大数据,提取环境大数据在风险评估与预警的价值,具有重要的意义,也充满挑战。本文基于环境大数据的数据特点和不同层次的组织管理特征以及环境风险评估预警的业务化需求,构建基于大数据的流域环境风险评估与预警技术及其业务化系统的体系、分析环境风险智能识别模式、研究环境风险高效模拟预测和评估的方法,并提出一套满足各级管理部门需求,高效利用环境大数据的多中心业务化系统。With the continuous construction of ecological environment big data, national, basin and administrative level of big data centers appeared one after another. It is of great significance and challenge to quickly and efficiently analyze and make use of the real-time generation, and various types of environmental big data, extract its value in environmental risk assessment and forecasting. Based on the characteristics of ecological environment big data, its organization and management at different levels and the operational requirements of water environmental risk assessment and early warning, this paper built the big data based operational system for basin water environmental risk assessment and early warning. Intelligent identification model for environmental risk and the method of efficient simulation and prediction of environmental risk were researched, then a set of multi-center operational system, which can meet the needs of multilevel business management and efficient use of environment data, was put forward.

关 键 词：大数据 风险评估 预警预测 业务化 

分 类 号：X824[环境科学与工程—环境工程] X52